Description

You will drive impactful data solutions as a Sr. PySpark Developer.

Responsibilities

  • Design and implement complex data architectures using PySpark.
  • Model data and design schemas for large-scale data processing.
  • Develop and maintain data pipelines leveraging Hadoop and Kafka.
  • Build and manage solutions involving Graph Databases.

Required Skills

  • 10+ years of professional experience in data engineering.
  • Expert proficiency in PySpark.
  • Experience with Neo4j or Neptune DB.
  • Strong knowledge of SQL and relational databases (Redshift, Snowflake, BigQuery).
  • Familiarity with data lake architectures.
  • Experience with distributed systems like Hadoop and Hive.
  • Proficiency working with cloud environments (AWS, Azure, or GCP).
  • Understanding of CI/CD pipelines.

Preferred Skills

Key Skills
Education

Any Graduate

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